Security Scan Report: www.oneblood.org

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Submitted: Dec 20, 2025, 6:44:34 PMCompleted: Dec 20, 2025, 6:46:16 PMpubliccompleted
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Summary

This website contacted 56 IPs in 5 countries across 53 domains to perform 219 HTTP transactions. The main domain is oneblood.org and was registered NaN years ago.

Submitted URL: https://www.oneblood.org/

The Cisco Umbrella rank of the primary domain is #490,073 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Long-established domain
No credential or payment collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Blood Donation Saves Lives | OneBlood

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(57%)

Domain Information

The domain 'www.oneblood.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Count 8 characters in 'oneblood' containing four vowels alongside 4 consonants. It segments into 2 words: one, blood. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.oneblood.org/

Page Load Overview

4.86s
Total Load Time
219
HTTP Requests
53
Domains
3.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:34,537 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software57% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
57%
documentation technical
45%
government public service
38%
healthcare medical
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
54188.114.97.3United States
AS13335CLOUDFLARENET
3216.58.210.168United States
AS15169GOOGLE
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3100.29.178.68Ashburn, Virginia, United States
AS14618AMAZON-AES
3199.232.175.10Stockholm, Stockholm County, Sweden
AS54113FASTLY
318.165.132.120United States
AS16509AMAZON-02
3104.18.18.251United States
AS13335CLOUDFLARENET
313.62.151.234Stockholm, Stockholm County, Sweden
AS16509AMAZON-02
32.23.245.90Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
3173.194.221.156United States
AS15169GOOGLE
21956--

Detected Technologies2

100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E884543070E6322F0B9B86F05295E717AAD289C7898525C5B49E933C1FD2E079CBE177

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2FGYKQpq2gO+kQRDE6sHdl5C0DbI60o1QXZAE7vgRqoqkdHd+0BTYlpG8Hl:2rpt+5RDE6sHdl50ZAE7vgRqoqfBxHl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:390092:JBAc7SGAvAagApXBIQyO0YQ2QSVJAFJUAjCAQQF6gBhAAo5QiCCJOQCYICgAkHy7gNEKcLbxAEIgOPpQATkJ0KELgQMaDaMJ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ff0000000000ffff
Perceptual Hash:8341feb6e4cc0c9b
Difference Hash:2ed9d1c4cefd093e
Wavelet Hash:ff2018402007ffff
Color Hash:#a3d22d

Scan History

Scan history not available

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